Skill UI

A comprehensive guide and best practices for managing event handling and defining custom action patterns within Makepad applications. It covers centralized action processing (using MatchEvent), widget-to-widget communication, and implementing complex state logic, making it ideal for building robust chat clients or complex UI systems.

This skill provides best practices for integrating Matrix SDK functionality into Makepad applications. It details the architecture and implementation patterns for building robust, real-time chat clients. Topics include using native Sliding Sync for efficient room updates, managing asynchronous requests (e.g., sending messages, fetching timelines), and handling complex Matrix operations within a Tokio runtime environment.

This skill provides best practices for managing application state and ensuring data persistence within large-scale applications, particularly for systems using Makepad architecture (Robrix/Moly). It details core structures like AppState, techniques for passing state through widget trees (Scope), and handling persistent data serialization (serde) across sessions, making it essential for building robust, multi-session UIs.

A comprehensive guide and set of best practices for designing reusable, production-ready widgets in Makepad. This skill covers advanced UI patterns such as modal overlays, collapsible sections, drag-and-drop functionality, and dynamic text/image toggling, ensuring robust and consistent component architecture.

This skill provides a comprehensive guide for creating production-quality custom Semgrep rules. It teaches best practices for detecting security vulnerabilities, enforcing robust coding standards, and identifying specific bug patterns. By emphasizing a test-first approach and utilizing advanced techniques like taint mode, users can write highly accurate static analysis rules that drastically reduce false positives.

This skill provides a structured workflow for porting existing Semgrep security rules to multiple target languages. It guides users through applicability analysis, test-first rule creation, and validation for each language variant, ensuring consistent and accurate security coverage across polyglot codebases.

This skill provides a systematic methodology for iteratively improving complex skill documentation. By utilizing a reviewer agent, it identifies and categorizes issues (Critical, Major, Minor) in a structured loop. The process ensures that the skill meets high standards of quality, reliability, and functional completeness before deployment, moving beyond simple manual edits.

A comprehensive, multi-phase security audit tool designed to evaluate AI agent skills before deployment. It detects critical vulnerabilities, including prompt injection, malicious code, excessive permissions, secret exposure, and supply chain risks, ensuring the integrity and safety of your agent environment.

A comprehensive, canonical workflow for defining, writing, and improving complex AI skills. It guides users through a structured, multi-step process, including resolving targets, synthesizing information, enforcing depth gates, authoring artifacts, optimizing descriptions, and conducting thorough evaluation and validation.

This skill provides a robust and safe mechanism for updating SpecKit templates and configurations from GitHub. It is designed to automatically apply the latest changes while meticulously preserving any existing project customizations, ensuring a non-disruptive workflow. It features a conversational, two-step approval process, guiding the user through the update process, reporting conflicts, and handling fresh installations gracefully. Ideal for developers needing reliable, version-controlled updates to their SpecKit environment.

Provides a static code analysis capability that inspects source files without running them, helping developers catch issues early in the build pipeline.

Autonomous frontend builders follow a Stitch-driven baton loop to read prompts, generate and integrate pages, refresh documentation, and hand off the next task for continuous site evolution.